不同土壤深度土壤保水参数（田间持水量和永久萎蔫点）的全球地图

该数据集包含全球范围内不同土壤深度（即0-5 cm、5-15 cm、15-30 cm、30-60 cm、60-100 cm和100-200 cm）的田间持水量和永久萎蔫点的地图，分辨率为10 km。这些数据基于两种集成模型的预测结果得出，分别是层次化多模型集成（HME）和自动机器学习辅助集成框架（AutoML-Ens），并结合13种广泛使用的土壤传递函数（PTF）模型进行预测。详细信息请参阅已发布的论文：“Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification”，链接：[https://doi.org/10.5194/gmd-16-5685-2023](https://doi.org/10.5194/gmd-16-5685-2023)。

This dataset contains global maps of field capacity and permanent wilting point across various soil depths (i.e., 0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm, and 100–200 cm), with a spatial resolution of 10 km. These data are derived from predictions of two ensemble models: the hierarchical multi-model ensemble (HME) and the automated machine learning-assisted ensemble framework (AutoML-Ens), and were generated by combining 13 widely used soil pedotransfer functions (PTFs). For detailed information, please refer to the published paper: "Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification", available at https://doi.org/10.5194/gmd-16-5685-2023.

搜集汇总

背景与挑战

背景概述

该数据集提供全球不同土壤深度（0-5 cm至100-200 cm）的土壤保水参数地图，包括田间持水量和永久萎蔫点，空间分辨率为10公里。数据基于集成多模型和自动化机器学习框架预测，适用于土壤物理学、水文学和遥感应用研究。